Genetic Characterization and Alternative Preservation Ways of Locally Adapted Sheep Breeds: Cases of Private and Public Sheep Sectors in Tunisia and Italy.

Mediterranean native sheep breeds genetic diversity microsatellite markers preservation

Journal

Biology
ISSN: 2079-7737
Titre abrégé: Biology (Basel)
Pays: Switzerland
ID NLM: 101587988

Informations de publication

Date de publication:
06 Nov 2022
Historique:
received: 19 10 2022
revised: 31 10 2022
accepted: 03 11 2022
entrez: 11 11 2022
pubmed: 12 11 2022
medline: 12 11 2022
Statut: epublish

Résumé

Non-commercialized sheep breeds known as local or native breeds are well adapted to their environmental constraints and constitute precious genetic resources that need prioritization for genetic diversity characterization and preservation. The aim of the present study was to assess the genetic diversity level and the related preservation decisions of very old and traditional native Mediterranean sheep breeds from Tunisia and Italy using 17 microsatellite markers. In total, 975 sheep were sampled from five Tunisian, one Center Italian, and four Venetian native breeds. Both private and publicly available farms were considered for each breed for breeding strategies' comparison purposes. The microsatellite set used was highly informative (PIC = 0.80 ± 0.08), with a total of 383 alleles. Moderate genetic differentiation was revealed between the native sheep of the two Mediterranean sides (global overall loci F

Identifiants

pubmed: 36358324
pii: biology11111623
doi: 10.3390/biology11111623
pmc: PMC9687707
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Yousra Ben Sassi-Zaidy (Y)

Laboratory of Diversity, Management and Conservation of Biological Systems, LR18ES06, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia.
Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro, Italy.
Laboratory of Management and Control of Animal and Environmental Resources in Semi-Arid Area, LR18AG01, Institut Supérieur Agronomique de Chott-Mariem, University of Sousse, ISA-CM-BP, 47, Chott-Mariem 4042, Tunisia.

Aziza Mohamed-Brahmi (A)

Laboratory of Agricultural Production Systems Sustainability in the North Western Region of Tunisia, Department of Animal Production, Ecole Supérieure d'Agriculture du Kef Boulifa, University of Jendouba, Le Kef 7119, Tunisia.

Rafik Aloulou (R)

Laboratory of Management and Control of Animal and Environmental Resources in Semi-Arid Area, LR18AG01, Institut Supérieur Agronomique de Chott-Mariem, University of Sousse, ISA-CM-BP, 47, Chott-Mariem 4042, Tunisia.

Faouzia Charfi-Cheikhrouha (F)

Laboratory of Diversity, Management and Conservation of Biological Systems, LR18ES06, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia.

Filippo Cendron (F)

Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro, Italy.

Nicola Tormen (N)

Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro, Italy.

Martino Cassandro (M)

Department of Agronomy, Animal, Food, Natural Resources and Environment, University of Padova, 35020 Legnaro, Italy.
National Federation of National Breeders Associations (FedANA), XXIV Maggio 43, 00187 Roma, Italy.

Classifications MeSH